In this paper, we propose a novel ranking framework for collaborative filtering with the overall aim of learning user preferences over items by minimizing pairwise loss. We show minimization problem involves dependent random variables and provide theoretical analysis proving consistency empirical risk in worst case where all users choose minimal number positive negative items. further derive Ne...

Various studies have confirmed the influential role of corrective feedback (CF) in the development of different linguistic skills and components. However, little, if any, research has been conducted on comparing types of linguistic errors treated by teachers through CF. To bridge this gap, this study sought to investigate the linguistic errors addressed and the types of CF provided by teachers....

Users' search activity has been used as implicit feedback to model search interests and improve the performance of search systems. In search engines, this behavior usually takes the form of queries and result clicks. However, richer data on how people engage with search results can now be captured at scale, creating new opportunities to enhance search. In this poster we focus on one type of new...